This project seeks to estimate sport fish harvest and releases of rockfish in Alaska waters by improving on the Howard et al. (2020) methods and expand the time series back to 1977 when the statewide harvest survey (SWHS) was first implemented. This is essentially a Bayesian version of the Howard methods that allows for more appropriate and defensible sharing of information between areas, handles missing data in a more appropriate manor, accurately propagates uncertainty throughout the estimation procedure and replaces the Howard decision tree approach to low sample sizes with a hierarchical model. The methods and results for generating harvest estimates are generally consistent between the Bayesian model and the Howard methods. Harvest estimates are consistent with Howard estimates during contemporary times, but may differ based on more appropriate weighting of SWHS and logbook data, including estimating and correcting bias in the SWHS data.

**Table 1.** Summary of key improvements in reconstructiing sport fish removals of rockfish using the Bayesian model as compared to the Howard et al. (2020) methods.
Issue	Howard	Bayes
Time series	1999 - present	1977 - present
Bias in SWHS	Not explicitly dealt with. Relies on logbook data and ratios of guided/unguided from SWHS data to estimate unguided releases and harvests.	Explicitly estimates bias in SWHS harvest and release estimates based on logbook data.
Species composition of releases	Assumes that species composition of releases is equal to that of the harvest, which is not evident in the logbook data.	Recognizes different release probabilities by species / species assemblage and estimates it from logbook data and bias corrected SWHS data
Sample size limitations	Uses sample size threshholds such that when areas fall below those threshholds values are borrowed from nearby areas.	Uses a hierarchichacal modelling approach that shares information between areas in the same region. Thus all data is used, even with small sample sizes. This is a more sound method that avoids assumptions and uses all of the data.
Error propogation	Error is propogated when variance estimates are available, but there is uncertainty associated with borrowing values from nearby areas, or the assumption of species compositions being identical in harvest and releases, are not dealt with.	By breaking the assumption that species composition is equal between harvests and releases, uncertainty in the release estimates is more reflective of the fishery. Furthermore, the hyerarchichal approach more accurately captures uncertainy within and between areas within a region.

Figure 1.- Data sources for estimating rockfish harvests and releases in ADF&G commercial fisheries management units. Note that initial rockfish harvest estimates were not differentiated into species assemblage or species until 1998 when logbooks began differentiating by pelagic and non-pelagic. Logbooks began to collect data on yelloweye beginning in 2006. Port sampling programs to gather data on species composition of harvests began in 1996 in Southcentral and Kodiak and in 2006 in Southeast.

Figure 2.- SWHS harvest (left) and release (right) estimates from guided trips (x-axis) versus repoted harvests from charter logbooks (y-axis).

Results

Model: LB_fit_3pH
Model Run: Gen4int_indcomp_swhsR_FULL_pHB4pars_re0full_altwt_1xcvSEo_thru2024_5e+05_noSEoR_2025-12-10 (Naming convention: modelname_thruYEAR_iters_rundate)
Proportion of parmaters converged (Rhat <= 1.1): 0.9969
See end of document for summary of unconverged parameters.

Figure X.- Rhat values and proportion of parameters that converged (Rhat < 1.1.)

Estimate comparison

Since previous estimates of rockfish harvest have been produced these first 3 graphs will be used to show how the modeled estimates compare to the estimates produced earlier. For total rockfish the estimates are in general agreement although differences are noted. These estimates should be more reliable because they include both SWHS and guide logbook data, handle variance more appropriately, use hierarchical distributions when data is missing, directly consider observation error and are produced using reproducible research.

Figure 3.- Total rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 3.- Total rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Notes from Adam: When looking at only black rockfish the most significant differences are for the Prince William Sound Inside area. I did not spend a great deal of time tracking this down although it looks like the previous version used bad values for \(P_{(black)ayu}\) for at least unguided anglers. For the moment I would ignore the results for BSIA and SOKO2SAP. I think it is possible to give approximate values for these areas but it will require a little more coding which I have yet to do.

Figure 4.- Black rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

And black rockfish releases…

Figure 5.- Black rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 6.- Yellow rockfish harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 7.- Yellow rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 8.- DSR rockfish (excluding yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 9.- DSR rockfish releases (including yelloweye) 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 11.- Slope rockfish harvests 1996-2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 12.- Slope rockfish releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 13.- Other rockfish (non-pelagic and non-yelloweye) harvests 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Figure 14.- Other rockfish (non-pelagic and non-yelloweye) releases 1996–2023. Lines and error polygons represent model estimates and points and error bars represent Howard et al estimates.

Total Biomass Removal Estimates

Figure 15.- Black rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 16.- Yellow rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 17.- Pelagic rockfish estimated total removals in lbs in 1996–2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 18.- Non-yelloweye, demersal shelf rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Figure 19.- Slope rockfish estimated total removals in lbs in 1996-2023. Total removals are calculated from the harvests, the estimated release mortality and mean fish weights. Error polygons represent 95% confidence intervals.

Model fit

Logbook residuals

Figure 20.- Residuals from logbook harvests.

SWHS residuals

Figure 21.- Residuals from SWHS harvests.

Figure 22.- Residual of SWHS releases.

Parameter estimates

P(Charter)

These histograms show the posterior distribution of the mean percent of rockfish harvested by the charter fleet.

Figure 23.- Mean percent of harvest by charter anglers.

When considered annually we see the percent of rockfish harvested by the charter fleet follows our data fairly well although the model smooths out the changes and we just do not have much information about this ratio. Prior to 2011 the percent charter is confounded with SWHS bias and should be mostly discounted.

Figure 24.- Annual estimates of the percent of harvest by charter anglers for 16 commerical fishing manamgent areas, 1996-2023.

P(Harvest)

These plots show the fitted logistic line to the proportion of caught rockfish that are harvested. These estimates are used for hindcasting catch estimates based on the harvest data in early years when catch estimates are unavailable.

Figure 25.- Annual proportion of pelagic rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 26.- Annual proportion of yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available.

Figure 27.- Annual proportion of non-pelagic, non-yelloweye rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note, that this is not estimated for Southeast areas because non=pelagics are divided between DSR (including yelloweye) and Slope species.

Figure 28.- Annual proportion of DSR rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

Figure 29.- Annual proportion of Slope rockfish catch that was harvested. Note that pre-1990 estimates are used to estimate catch in these years when catch estimates are not available. Note that the observed logbook data is for all non-pelagic, non-yelloweye fish.

SWHS bias

Figure 23 shows the mean estimate for SWHS bias in harvests and releases. Cook Inlet, North Gulf Coast and North Southeast Inside all look pretty good while most other areas have substantial bias. Prince William Sound Inside has the largest bias. Bias in release estimates is substantial and whereas the SWHS appears to underestimate harvests, it appears to greatly overestimates releases by a factor of 2 or more in most areas as derived from logbook reported releases.

Figure 30.- Mean SWHS bias for harvests and catches. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

Our estimates of SWHS harvest bias track observations fairly well when he have guided harvest estimates. The estimates of release bias in the SWHS data track observed patterns to an extent, but appear to smooth these more volatile disagreements with the logbook data. Adam postulated in his initial start on this that some of this could be the result of the estimates of the proportion guided. This value was not modelled with a trend and thus applies a constant estimate when hindcasting. Data on these relationships could greatly improve this model.

Figure 31.- Annual estimates of SWHS bias in harvests and releases for 16 commerical fishing manamgent areas, 1996-2023. Note that a bias < 1 indicates that the SWHS underestimates the true value and bias > 1 indicates the survey overestimates the true value.

P(pelagic)

We model the percentage of pelagic rockfish in the harvest because we have the information for charter anglers (via logbooks) starting in 1998. Other than looking at the model estimates you can use Figure 25 to compare the two data streams for pelagic rockfish harvest. In general they are in agreement with major exceptions in Price William Sound inside, Prince William Sound outside (early in the time series) and South Southeast inside.

Figure 32.- Annual estimates of the percent of the sport harvest that was pelagic rockfish for 16 commerical fishing manamgent areas, 1996-2023.

P(black|pelagic)

Note that in Southeast Alaska we only have composition data starting in 2006. Tania dug up old SE data, but it did not provide any useful data for species apportionment. For the most part, P(black|pelagic) is relatively constant across areas, with the exception of Cook Inlet and NSEI in Southeast AK. It may be worth discussing whether the shifts in those areas is a result of improved or changing species identification rather than actual shift in the species composition of the catch.

Figure 33.- Annual estimates of the percent of the sport harvest of pelagic rockfish that were black rockfish for 16 commerical fishing manamgent areas, 1996-2023. Kodiak panels include data from a hydroacoustic survey and the proportion of pelagic rockfish that are black in those areas (red) and the adjusted proportions based on obseved harvests for charter (blue) and private (cyan) users.

P(yelloweye|non-pelagic / yelloweye|DSR)

Figure 34.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were yelloweye rockfish for 16 commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(DSR|non-pelagic)

Figure 35.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were DSR rockfish for 6 Southeast commerical fishing manamgent areas, 1996-2023.

P(slope|non-pelagic)

Figure 36.- Annual estimates of the percent of the sport harvest of non-pelagic rockfish that were slope rockfish for 6 southeast commerical fishing manamgent areas, 1996-2023. Note that P(yelloweye) is the the proportion relative to non-pelagics for Central and Kodiak areas but is relative to DSR for Southeast areas.

P(slope|non-pelagic & non-yellowye) For release estimates

## NULL

Weight Fits

Figure 37.- Mean weights of black rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 38.- Mean weights of yelloweye rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 39.- Mean weights of non-black, pelagic rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 40.- Mean weights of non-yelloweye, demersal shelf rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Figure 41.- Mean weights of slope rockfish used to estimate biomass from harvest and release mortality estimates in numbers of fish.

Summary of unconverged parameters:

The proportion of unconverged species composition proportional estimates that are near the bounds of 0 or 1 is 0.5745856

The proportion of unconverged true parameters (defined as Rhat > 1.01) that are also in excess of an Rhat of 1.1 is 0.11 while 0.89 are less than 1.1.

Table Xa. Species proportion derived quantities that are not with 0.05 of the 0 and 1 bounds and are not converged relative to an Rhat of 1.01.

variable	area_n	year	user	mean	median	lower	upper	Rhat	sd	skew	area
p_pelagic	11	1	1	0.455	0.453	0.220	0.709	1.011	0.128	0.016	CSEO
p_pelagic	11	1	2	0.391	0.384	0.173	0.647	1.015	0.124	0.056	CSEO
p_pelagic	11	10	2	0.389	0.380	0.179	0.645	1.011	0.122	0.074	CSEO
p_pelagic	11	11	1	0.449	0.449	0.209	0.707	1.010	0.131	0.000	CSEO
p_pelagic	11	11	2	0.391	0.383	0.179	0.635	1.012	0.122	0.065	CSEO
p_pelagic	11	12	2	0.390	0.380	0.178	0.643	1.012	0.121	0.083	CSEO
p_pelagic	11	13	1	0.457	0.454	0.225	0.714	1.018	0.129	0.023	CSEO
p_pelagic	11	13	2	0.388	0.379	0.174	0.641	1.011	0.123	0.073	CSEO
p_pelagic	11	14	1	0.465	0.460	0.240	0.695	1.019	0.121	0.041	CSEO
p_pelagic	11	16	2	0.396	0.392	0.174	0.646	1.011	0.123	0.033	CSEO
p_pelagic	11	17	1	0.459	0.457	0.232	0.696	1.012	0.121	0.017	CSEO
p_pelagic	11	18	1	0.464	0.464	0.239	0.701	1.010	0.122	0.000	CSEO
p_pelagic	11	18	2	0.397	0.391	0.183	0.650	1.011	0.121	0.049	CSEO
p_pelagic	11	2	1	0.452	0.447	0.213	0.709	1.011	0.129	0.039	CSEO
p_pelagic	11	2	2	0.392	0.388	0.172	0.640	1.019	0.124	0.032	CSEO
p_pelagic	11	21	1	0.472	0.467	0.242	0.715	1.011	0.122	0.041	CSEO
p_pelagic	11	3	1	0.455	0.451	0.222	0.704	1.013	0.128	0.031	CSEO
p_pelagic	11	3	2	0.392	0.385	0.177	0.649	1.011	0.124	0.057	CSEO
p_pelagic	11	4	1	0.454	0.452	0.221	0.694	1.011	0.124	0.016	CSEO
p_pelagic	11	4	2	0.389	0.385	0.178	0.639	1.013	0.122	0.033	CSEO
p_pelagic	11	5	1	0.457	0.456	0.220	0.712	1.014	0.128	0.008	CSEO
p_pelagic	11	5	2	0.390	0.383	0.172	0.638	1.016	0.124	0.057	CSEO
p_pelagic	11	6	1	0.456	0.452	0.222	0.702	1.010	0.126	0.032	CSEO
p_pelagic	11	7	1	0.454	0.449	0.221	0.705	1.017	0.128	0.039	CSEO
p_pelagic	11	7	2	0.391	0.385	0.173	0.641	1.013	0.120	0.050	CSEO
p_pelagic	11	8	1	0.456	0.453	0.220	0.703	1.011	0.128	0.024	CSEO
p_pelagic	11	9	1	0.454	0.452	0.213	0.712	1.021	0.127	0.016	CSEO
p_pelagic	11	9	2	0.389	0.383	0.172	0.644	1.014	0.123	0.049	CSEO
p_pelagic	13	1	1	0.236	0.212	0.052	0.549	1.241	0.133	0.180	NSEI
p_pelagic	13	1	2	0.093	0.076	0.016	0.269	1.235	0.066	0.259	NSEI
p_pelagic	13	10	1	0.268	0.246	0.078	0.559	1.176	0.127	0.173	NSEI
p_pelagic	13	10	2	0.108	0.092	0.028	0.280	1.146	0.066	0.241	NSEI
p_pelagic	13	11	1	0.276	0.257	0.085	0.569	1.126	0.127	0.149	NSEI
p_pelagic	13	11	2	0.110	0.094	0.026	0.291	1.119	0.068	0.235	NSEI
p_pelagic	13	12	1	0.280	0.263	0.087	0.563	1.113	0.124	0.137	NSEI
p_pelagic	13	12	2	0.113	0.099	0.029	0.276	1.119	0.064	0.220	NSEI
p_pelagic	13	13	1	0.286	0.267	0.093	0.575	1.116	0.125	0.152	NSEI
p_pelagic	13	13	2	0.117	0.103	0.030	0.287	1.114	0.067	0.209	NSEI
p_pelagic	13	14	1	0.277	0.262	0.096	0.542	1.100	0.116	0.129	NSEI
p_pelagic	13	14	2	0.118	0.103	0.034	0.277	1.096	0.063	0.236	NSEI
p_pelagic	13	15	1	0.257	0.239	0.089	0.527	1.080	0.112	0.161	NSEI
p_pelagic	13	15	2	0.115	0.103	0.035	0.260	1.073	0.059	0.204	NSEI
p_pelagic	13	16	1	0.294	0.279	0.108	0.551	1.060	0.115	0.130	NSEI
p_pelagic	13	16	2	0.127	0.114	0.038	0.295	1.058	0.067	0.194	NSEI
p_pelagic	13	17	1	0.313	0.299	0.126	0.575	1.063	0.116	0.120	NSEI
p_pelagic	13	17	2	0.135	0.121	0.044	0.295	1.048	0.066	0.211	NSEI
p_pelagic	13	18	1	0.324	0.315	0.133	0.574	1.046	0.114	0.079	NSEI
p_pelagic	13	18	2	0.140	0.126	0.044	0.313	1.047	0.070	0.200	NSEI
p_pelagic	13	19	1	0.324	0.312	0.134	0.569	1.033	0.114	0.105	NSEI
p_pelagic	13	19	2	0.146	0.133	0.049	0.324	1.035	0.071	0.184	NSEI
p_pelagic	13	2	1	0.242	0.218	0.056	0.548	1.264	0.131	0.183	NSEI
p_pelagic	13	2	2	0.094	0.077	0.018	0.269	1.227	0.067	0.253	NSEI
p_pelagic	13	20	1	0.343	0.331	0.151	0.586	1.024	0.115	0.105	NSEI
p_pelagic	13	20	2	0.155	0.142	0.051	0.325	1.027	0.071	0.182	NSEI
p_pelagic	13	21	1	0.363	0.352	0.166	0.615	1.023	0.116	0.095	NSEI
p_pelagic	13	21	2	0.165	0.152	0.061	0.335	1.014	0.073	0.179	NSEI
p_pelagic	13	22	2	0.168	0.157	0.057	0.337	1.013	0.074	0.149	NSEI
p_pelagic	13	3	1	0.243	0.219	0.059	0.538	1.226	0.129	0.187	NSEI
p_pelagic	13	3	2	0.096	0.079	0.019	0.274	1.231	0.067	0.255	NSEI
p_pelagic	13	4	1	0.246	0.223	0.061	0.547	1.239	0.132	0.175	NSEI
p_pelagic	13	4	2	0.097	0.080	0.019	0.263	1.212	0.066	0.258	NSEI
p_pelagic	13	5	1	0.247	0.224	0.063	0.552	1.232	0.128	0.180	NSEI
p_pelagic	13	5	2	0.098	0.082	0.020	0.264	1.187	0.064	0.248	NSEI
p_pelagic	13	6	1	0.250	0.228	0.066	0.546	1.212	0.129	0.170	NSEI
p_pelagic	13	6	2	0.101	0.086	0.022	0.268	1.186	0.067	0.224	NSEI
p_pelagic	13	7	1	0.254	0.232	0.069	0.554	1.167	0.128	0.172	NSEI
p_pelagic	13	7	2	0.102	0.086	0.021	0.271	1.186	0.068	0.236	NSEI
p_pelagic	13	8	1	0.261	0.242	0.071	0.559	1.194	0.129	0.147	NSEI
p_pelagic	13	8	2	0.102	0.086	0.023	0.277	1.172	0.067	0.239	NSEI
p_pelagic	13	9	1	0.265	0.245	0.078	0.551	1.176	0.125	0.160	NSEI
p_pelagic	13	9	2	0.105	0.088	0.023	0.277	1.144	0.067	0.255	NSEI
p_pelagic	14	21	1	0.438	0.433	0.214	0.691	1.012	0.123	0.041	NSEO
p_pelagic	14	6	1	0.428	0.422	0.204	0.687	1.010	0.123	0.049	NSEO
p_pelagic	3	12	2	0.191	0.178	0.067	0.395	1.010	0.085	0.154	PWSI
p_pelagic	3	2	2	0.189	0.176	0.065	0.391	1.010	0.085	0.152	PWSI
p_pelagic	4	7	2	0.557	0.559	0.301	0.794	1.011	0.129	-0.016	PWSO
p_black	8	37	1	0.381	0.379	0.317	0.449	1.065	0.042	0.047	afognak

Table Xb. True parameters with an Rhat in excess of 1.1

variable	area_n	year/species	mean	median	lower	upper	Rhat	sd	skew	area
beta2_pH	10	3	0.329	0.235	0.103	0.975	1.110	0.474	0.198	northeast
beta1_pH	11	1	3.252	3.171	2.489	4.387	1.138	0.487	0.166	CSEO
beta0_pelagic	11		-0.186	-0.167	-0.689	0.171	1.131	0.207	-0.092	CSEO
beta1_pelagic	11		1.231	1.194	0.711	2.118	1.187	0.323	0.114	CSEO
beta0_pH	13	4	0.735	0.816	-0.982	1.866	1.117	0.672	-0.121	NSEI
beta0_pelagic	13		-1.565	-1.465	-3.341	-0.232	1.845	0.830	-0.121	NSEI
beta1_pelagic	13		3.886	3.478	1.735	7.318	1.606	1.511	0.270	NSEI
beta2_pelagic	13		0.141	0.126	0.057	0.322	1.324	0.074	0.204	NSEI
beta1_pelagic	14		1.846	1.725	1.131	3.036	1.131	0.506	0.239	NSEO
beta2_yellow	14		-6.274	-4.748	-18.665	-0.376	1.203	4.981	-0.306	NSEO
beta2_yellow	15		-6.565	-5.503	-19.371	-0.277	1.134	5.093	-0.209	SSEI
beta2_yellow	2		-9.188	-7.428	-24.626	-0.602	1.130	6.774	-0.260	NG
beta0_pH	3	1	1.365	1.406	0.642	1.747	1.121	0.262	-0.157	PWSI
beta2_pH	8	1	0.442	0.278	0.121	2.000	1.205	0.687	0.239	afognak
beta2_pH	9	3	0.197	0.167	0.082	0.429	1.185	0.190	0.158	eastside

Table Xc. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.01.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.01	459.00	190.00	918.00	324.00
Prop. of total	0.71	0.29	0.74	0.26
Prop. median less than 1	0.28	0.24	0.32	0.44
Prop. median less than 10	0.36	0.60	0.52	0.77
Prop. median less than 50	0.48	0.80	0.65	0.85
Median of the median values	101.54	6.10	7.67	1.53
Mean of the median values	663.22	176.80	227.67	152.22
Mean skew of posteriors	0.24	0.29	0.27	0.25

Table Xd. Summary statistics describing the characteristics of the derived harvest and release estimates that are not converged relative to an Rhat of 1.1.

Statistic	non.BSAI.SOKO.Harv	BSAI.SOKO.Harv	non.BSAI.SOKO.Rel	BSAI.SOKO.Rel
n unconverged at Rhat = 1.1	40.00	6.00	51.00	32.00
Prop. of total	0.87	0.13	0.61	0.39
Prop. median less than 1	0.03	0.67	0.76	0.50
Prop. median less than 10	0.03	1.00	0.78	0.94
Prop. median less than 50	0.03	1.00	0.80	0.94
Median of the median values	745.76	0.38	0.01	1.07
Mean of the median values	656.44	2.68	61.55	6.00
Mean skew of posteriors	0.24	0.18	0.17	0.19

Table Xe. All parameters and derived quantities that are not converged relative to an Rhat of 1.1.

variable	Freq
beta0_pelagic	2
beta0_pH	2
beta1_pelagic	3
beta1_pH	1
beta2_pelagic	1
beta2_pH	3
beta2_yellow	3
Bp_ay	10
Bp_ayg	6
Bp_ayu	8
H_ayg	1
Hb_ay	10
Hb_ayg	9
Hb_ayu	6
Ho_ay	3
Ho_ayg	1
Ho_ayu	3
Hp_ay	11
Hp_ayg	11
Hp_ayu	8
Hs_ayu	4
Hy_ayu	1
p_pelagic	26
R_ayg	1
R_ayu	4
Rb_ayg	3
Rd_ayg	1
Rd_ayu	2
Ro_ay	9
Ro_ayg	3
Ro_ayu	25
Rp_ayg	1
Rp_ayu	4
Rs_ay	1
Rs_ayg	3
Rs_ayu	6
Ry_ay	7
Ry_ayg	3
Ry_ayu	20

Parameter estimates:

Summary Table of Parameter Estimates
Parameter	mean	sd	Lower_CI	Median	Upper_CI
mu_bc_H[1]	-0.015	0.070	-0.143	-0.018	0.133
mu_bc_H[2]	0.076	0.055	-0.024	0.073	0.192
mu_bc_H[3]	-0.269	0.066	-0.400	-0.269	-0.137
mu_bc_H[4]	-0.925	0.185	-1.312	-0.917	-0.577
mu_bc_H[5]	1.313	1.055	0.102	1.065	3.987
mu_bc_H[6]	-2.407	0.320	-3.014	-2.413	-1.758
mu_bc_H[7]	-0.455	0.100	-0.666	-0.453	-0.265
mu_bc_H[8]	0.266	0.344	-0.325	0.234	1.023
mu_bc_H[9]	-0.244	0.126	-0.486	-0.244	0.013
mu_bc_H[10]	0.058	0.064	-0.061	0.056	0.190
mu_bc_H[11]	-0.126	0.037	-0.202	-0.127	-0.055
mu_bc_H[12]	-0.249	0.107	-0.482	-0.244	-0.044
mu_bc_H[13]	-0.159	0.071	-0.296	-0.162	-0.018
mu_bc_H[14]	-0.308	0.089	-0.490	-0.306	-0.141
mu_bc_H[15]	-0.335	0.048	-0.426	-0.335	-0.242
mu_bc_H[16]	-0.146	0.359	-0.762	-0.179	0.678
mu_bc_R[1]	1.042	0.120	0.808	1.043	1.283
mu_bc_R[2]	1.014	0.075	0.856	1.017	1.153
mu_bc_R[3]	0.223	0.089	0.042	0.224	0.391
mu_bc_R[4]	0.665	0.194	0.265	0.674	1.018
mu_bc_R[5]	1.674	0.369	0.960	1.680	2.409
mu_bc_R[6]	-1.436	0.343	-2.084	-1.441	-0.748
mu_bc_R[7]	0.520	0.169	0.165	0.528	0.839
mu_bc_R[8]	0.647	0.148	0.357	0.646	0.942
mu_bc_R[9]	0.385	0.168	0.035	0.392	0.709
mu_bc_R[10]	0.895	0.103	0.697	0.892	1.098
mu_bc_R[11]	1.101	0.075	0.956	1.100	1.248
mu_bc_R[12]	0.873	0.162	0.550	0.875	1.198
mu_bc_R[13]	1.029	0.088	0.844	1.032	1.196
mu_bc_R[14]	0.859	0.123	0.618	0.859	1.100
mu_bc_R[15]	0.780	0.098	0.583	0.777	0.974
mu_bc_R[16]	1.270	0.115	1.035	1.273	1.484
tau_pH[1]	2.464	0.180	2.119	2.462	2.833
tau_pH[2]	1.566	0.144	1.301	1.559	1.867
tau_pH[3]	2.268	0.301	1.735	2.251	2.907
tau_pH[4]	1.124	0.175	0.818	1.109	1.500
tau_pH[5]	0.788	0.131	0.555	0.779	1.062
beta0_pH[1,1]	0.556	0.176	0.178	0.564	0.877
beta0_pH[2,1]	1.418	0.176	1.029	1.429	1.728
beta0_pH[3,1]	1.365	0.262	0.642	1.406	1.747
beta0_pH[4,1]	1.528	0.259	0.927	1.557	1.959
beta0_pH[5,1]	-0.811	0.353	-1.572	-0.790	-0.192
beta0_pH[6,1]	-0.544	0.444	-1.711	-0.438	0.046
beta0_pH[7,1]	0.752	0.011	0.732	0.752	0.773
beta0_pH[8,1]	-0.694	0.330	-1.436	-0.665	-0.118
beta0_pH[9,1]	-0.350	0.317	-1.144	-0.316	0.163
beta0_pH[10,1]	0.263	0.194	-0.192	0.269	0.631
beta0_pH[11,1]	0.107	0.306	-0.546	0.149	0.592
beta0_pH[12,1]	0.615	0.192	0.230	0.618	0.983
beta0_pH[13,1]	-0.656	0.147	-0.936	-0.655	-0.371
beta0_pH[14,1]	0.012	0.172	-0.340	0.020	0.341
beta0_pH[15,1]	0.064	0.180	-0.331	0.078	0.376
beta0_pH[16,1]	-0.874	0.189	-1.258	-0.869	-0.524
beta0_pH[1,2]	2.566	0.083	2.406	2.565	2.733
beta0_pH[2,2]	3.078	0.022	3.036	3.078	3.121
beta0_pH[3,2]	3.625	0.041	3.547	3.624	3.704
beta0_pH[4,2]	2.936	0.019	2.900	2.936	2.973
beta0_pH[5,2]	4.568	1.461	2.788	4.269	8.330
beta0_pH[6,2]	3.327	0.161	3.035	3.321	3.656
beta0_pH[7,2]	2.026	0.050	1.931	2.025	2.122
beta0_pH[8,2]	2.824	0.065	2.703	2.823	2.958
beta0_pH[9,2]	3.963	0.210	3.561	3.958	4.387
beta0_pH[10,2]	3.998	0.129	3.752	3.993	4.262
beta0_pH[11,2]	1.889	0.009	1.871	1.889	1.906
beta0_pH[12,2]	1.804	0.070	1.673	1.802	1.948
beta0_pH[13,2]	2.496	0.026	2.446	2.496	2.547
beta0_pH[14,2]	1.806	0.024	1.760	1.807	1.854
beta0_pH[15,2]	2.550	0.017	2.516	2.549	2.582
beta0_pH[16,2]	2.776	0.024	2.730	2.776	2.822
beta0_pH[1,3]	0.718	0.566	-0.771	0.872	1.374
beta0_pH[2,3]	2.126	0.018	2.092	2.126	2.161
beta0_pH[3,3]	2.689	0.024	2.642	2.689	2.735
beta0_pH[4,3]	2.981	0.034	2.914	2.981	3.049
beta0_pH[5,3]	3.722	2.649	0.928	3.020	11.045
beta0_pH[6,3]	1.245	0.321	0.675	1.228	1.965
beta0_pH[7,3]	0.855	0.050	0.760	0.854	0.952
beta0_pH[8,3]	0.283	0.125	0.018	0.290	0.505
beta0_pH[9,3]	-2.742	1.068	-5.193	-2.590	-0.979
beta0_pH[10,3]	-0.827	0.844	-2.741	-0.743	0.593
beta0_pH[11,3]	0.037	11.484	-22.266	0.016	22.574
beta0_pH[12,3]	0.053	11.361	-22.389	0.130	22.061
beta0_pH[13,3]	0.108	11.507	-22.806	0.257	22.574
beta0_pH[14,3]	0.001	11.624	-23.068	0.095	22.375
beta0_pH[15,3]	0.099	11.270	-21.706	0.200	21.599
beta0_pH[16,3]	0.135	11.362	-22.357	0.015	21.805
beta0_pH[11,4]	0.931	0.763	-1.331	1.023	2.115
beta0_pH[12,4]	0.820	0.816	-1.041	0.843	2.296
beta0_pH[13,4]	0.735	0.672	-0.982	0.816	1.866
beta0_pH[14,4]	0.291	0.578	-1.091	0.360	1.224
beta0_pH[15,4]	0.577	0.618	-1.048	0.646	1.566
beta0_pH[16,4]	0.981	0.739	-0.697	1.004	2.323
beta0_pH[11,5]	1.671	0.088	1.513	1.665	1.857
beta0_pH[12,5]	-1.410	0.450	-2.334	-1.386	-0.569
beta0_pH[13,5]	2.233	0.259	1.811	2.205	2.817
beta0_pH[14,5]	1.894	0.304	1.379	1.862	2.561
beta0_pH[15,5]	1.109	0.065	0.996	1.105	1.243
beta0_pH[16,5]	-0.737	0.051	-0.836	-0.737	-0.636
beta1_pH[1,1]	2.575	0.480	1.824	2.514	3.813
beta1_pH[2,1]	1.606	0.344	1.019	1.569	2.360
beta1_pH[3,1]	1.858	0.480	1.139	1.790	3.221
beta1_pH[4,1]	2.028	0.535	1.255	1.914	3.565
beta1_pH[5,1]	2.338	0.478	1.560	2.286	3.410
beta1_pH[6,1]	2.264	0.903	1.089	2.020	4.551
beta1_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,1]	2.701	0.882	1.369	2.524	4.566
beta1_pH[9,1]	2.205	0.730	1.264	2.024	4.267
beta1_pH[10,1]	2.190	0.404	1.528	2.143	3.250
beta1_pH[11,1]	3.252	0.487	2.489	3.171	4.387
beta1_pH[12,1]	2.921	0.287	2.356	2.923	3.482
beta1_pH[13,1]	3.455	0.244	2.992	3.449	3.935
beta1_pH[14,1]	2.846	0.319	2.229	2.838	3.485
beta1_pH[15,1]	2.385	0.261	1.920	2.365	2.944
beta1_pH[16,1]	4.037	0.271	3.526	4.032	4.582
beta1_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta1_pH[1,3]	3.403	1.688	1.224	2.926	7.396
beta1_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[8,3]	4.888	2.303	2.249	4.108	11.268
beta1_pH[9,3]	8.158	2.544	4.124	7.721	13.859
beta1_pH[10,3]	7.012	2.601	3.113	6.539	12.801
beta1_pH[11,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,3]	0.000	0.000	0.000	0.000	0.000
beta1_pH[11,4]	2.240	0.786	0.880	2.172	4.411
beta1_pH[12,4]	3.339	0.823	1.839	3.298	5.262
beta1_pH[13,4]	1.741	0.709	0.433	1.698	3.489
beta1_pH[14,4]	2.364	0.660	1.251	2.314	3.884
beta1_pH[15,4]	1.865	0.671	0.731	1.815	3.557
beta1_pH[16,4]	3.880	0.790	2.425	3.859	5.649
beta1_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta1_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,1]	1.228	0.825	0.338	0.937	3.303
beta2_pH[2,1]	1.541	0.952	0.295	1.314	3.408
beta2_pH[3,1]	1.304	0.833	0.182	1.148	2.899
beta2_pH[4,1]	1.014	0.757	0.175	0.750	2.852
beta2_pH[5,1]	2.039	1.559	0.259	1.684	6.148
beta2_pH[6,1]	0.863	1.260	0.104	0.377	4.261
beta2_pH[7,1]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,1]	0.442	0.687	0.121	0.278	2.000
beta2_pH[9,1]	0.836	1.177	0.132	0.472	4.339
beta2_pH[10,1]	1.141	1.124	0.240	0.801	4.454
beta2_pH[11,1]	0.466	0.261	0.200	0.399	1.075
beta2_pH[12,1]	1.526	0.798	0.609	1.265	3.660
beta2_pH[13,1]	1.023	0.411	0.550	0.928	2.171
beta2_pH[14,1]	1.097	0.629	0.450	0.913	3.103
beta2_pH[15,1]	1.028	0.595	0.399	0.874	2.891
beta2_pH[16,1]	1.052	0.345	0.624	0.990	1.909
beta2_pH[1,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[2,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[9,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[10,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[11,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,2]	0.000	0.000	0.000	0.000	0.000
beta2_pH[1,3]	2.518	4.348	0.115	0.524	15.912
beta2_pH[2,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[3,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[4,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[5,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[6,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[7,3]	0.000	0.000	0.000	0.000	0.000
beta2_pH[8,3]	2.436	2.014	0.564	1.597	8.183
beta2_pH[9,3]	0.197	0.190	0.082	0.167	0.429
beta2_pH[10,3]	0.329	0.474	0.103	0.235	0.975
beta2_pH[11,3]	-8.397	5.982	-22.684	-7.170	-0.424
beta2_pH[12,3]	-8.429	5.993	-22.654	-7.215	-0.396
beta2_pH[13,3]	-8.371	6.015	-22.575	-7.136	-0.382
beta2_pH[14,3]	-8.359	5.952	-22.633	-7.151	-0.400
beta2_pH[15,3]	-8.349	5.929	-22.463	-7.300	-0.404
beta2_pH[16,3]	-8.370	5.941	-22.789	-7.216	-0.478
beta2_pH[11,4]	-5.188	4.274	-16.623	-3.892	-0.641
beta2_pH[12,4]	-5.767	4.199	-16.782	-4.517	-1.011
beta2_pH[13,4]	-5.337	4.255	-16.622	-3.898	-0.847
beta2_pH[14,4]	-5.370	4.220	-16.344	-3.868	-0.969
beta2_pH[15,4]	-5.439	4.154	-16.773	-4.148	-0.826
beta2_pH[16,4]	-5.530	3.971	-16.322	-4.212	-1.295
beta2_pH[11,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[12,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[13,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[14,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[15,5]	0.000	0.000	0.000	0.000	0.000
beta2_pH[16,5]	0.000	0.000	0.000	0.000	0.000
beta3_pH[1,1]	34.990	1.166	32.915	34.969	37.655
beta3_pH[2,1]	32.728	1.277	30.357	32.698	35.272
beta3_pH[3,1]	32.986	1.627	29.500	33.030	36.217
beta3_pH[4,1]	32.841	1.960	29.620	32.653	37.478
beta3_pH[5,1]	27.637	1.144	26.211	27.471	30.966
beta3_pH[6,1]	33.546	3.342	27.194	33.103	41.303
beta3_pH[7,1]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,1]	35.857	3.696	29.043	36.123	42.690
beta3_pH[9,1]	32.732	3.084	27.939	32.156	40.341
beta3_pH[10,1]	32.658	1.359	30.377	32.536	35.515
beta3_pH[11,1]	31.229	1.016	29.307	31.239	33.207
beta3_pH[12,1]	30.776	0.469	29.807	30.797	31.615
beta3_pH[13,1]	31.413	0.538	30.400	31.399	32.510
beta3_pH[14,1]	32.497	0.739	31.243	32.450	34.031
beta3_pH[15,1]	30.922	0.726	29.469	30.949	32.301
beta3_pH[16,1]	30.114	0.355	29.386	30.126	30.797
beta3_pH[1,2]	34.411	5.471	25.551	34.267	43.442
beta3_pH[2,2]	34.746	5.464	25.468	35.019	43.448
beta3_pH[3,2]	30.502	7.257	18.579	30.458	42.435
beta3_pH[4,2]	30.451	7.171	18.591	30.280	42.384
beta3_pH[5,2]	30.321	7.228	18.534	30.275	42.355
beta3_pH[6,2]	30.398	7.330	18.654	30.288	42.407
beta3_pH[7,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[9,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[10,2]	25.000	0.000	25.000	25.000	25.000
beta3_pH[11,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[12,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[13,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[14,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[15,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[16,2]	24.000	0.000	24.000	24.000	24.000
beta3_pH[1,3]	39.817	2.527	33.627	40.176	43.708
beta3_pH[2,3]	34.512	5.522	25.442	34.722	43.500
beta3_pH[3,3]	30.484	7.269	18.637	30.539	42.381
beta3_pH[4,3]	30.287	7.229	18.571	30.262	42.331
beta3_pH[5,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[6,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[7,3]	25.000	0.000	25.000	25.000	25.000
beta3_pH[8,3]	42.134	0.831	40.912	41.872	43.841
beta3_pH[9,3]	35.876	1.622	34.521	35.287	40.712
beta3_pH[10,3]	37.690	2.440	34.634	37.071	43.239
beta3_pH[11,3]	38.498	2.589	34.239	38.513	42.751
beta3_pH[12,3]	38.506	2.606	34.207	38.512	42.740
beta3_pH[13,3]	38.542	2.584	34.265	38.574	42.731
beta3_pH[14,3]	38.495	2.595	34.215	38.579	42.754
beta3_pH[15,3]	38.437	2.575	34.215	38.374	42.797
beta3_pH[16,3]	38.448	2.594	34.265	38.446	42.791
beta3_pH[11,4]	40.811	1.181	38.877	40.700	43.249
beta3_pH[12,4]	41.923	0.789	40.262	42.185	42.936
beta3_pH[13,4]	41.402	1.074	39.280	41.364	43.598
beta3_pH[14,4]	40.399	0.744	38.912	40.428	41.810
beta3_pH[15,4]	41.197	0.890	39.597	41.121	43.155
beta3_pH[16,4]	41.753	0.426	40.915	41.813	42.566
beta3_pH[11,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[12,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[13,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[14,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[15,5]	25.000	0.000	25.000	25.000	25.000
beta3_pH[16,5]	25.000	0.000	25.000	25.000	25.000
beta4_pH[1,1]	0.262	0.021	0.220	0.262	0.304
beta4_pH[2,1]	0.211	0.005	0.201	0.211	0.221
beta4_pH[3,1]	0.172	0.007	0.158	0.172	0.187
beta4_pH[4,1]	0.294	0.011	0.272	0.294	0.315
beta4_pH[5,1]	0.434	0.335	0.089	0.390	0.981
beta4_pH[6,1]	0.784	0.394	0.326	0.735	1.459
beta4_pH[7,1]	0.853	0.343	0.342	0.801	1.693
beta4_pH[8,1]	0.155	0.070	0.042	0.148	0.314
beta4_pH[9,1]	0.217	0.086	0.063	0.211	0.392
beta4_pH[10,1]	0.001	0.001	0.000	0.001	0.003
beta4_pH[11,1]	0.445	0.012	0.423	0.445	0.469
beta4_pH[12,1]	0.641	0.023	0.597	0.642	0.684
beta4_pH[13,1]	0.630	0.014	0.604	0.630	0.657
beta4_pH[14,1]	0.669	0.031	0.609	0.668	0.730
beta4_pH[15,1]	0.798	0.021	0.758	0.797	0.839
beta4_pH[16,1]	1.214	0.041	1.137	1.213	1.293
beta4_pH[1,2]	0.298	0.098	0.122	0.293	0.503
beta4_pH[2,2]	0.514	0.022	0.470	0.513	0.558
beta4_pH[3,2]	0.446	0.012	0.423	0.446	0.470
beta4_pH[4,2]	0.655	0.038	0.583	0.655	0.731
beta4_pH[5,2]	0.711	0.723	0.109	0.533	2.367
beta4_pH[6,2]	0.907	0.756	0.203	0.743	2.606
beta4_pH[7,2]	0.896	0.508	0.339	0.811	1.998
beta4_pH[8,2]	0.848	0.202	0.496	0.835	1.292
beta4_pH[9,2]	1.163	1.107	0.305	0.884	3.741
beta4_pH[10,2]	0.458	0.052	0.361	0.455	0.565
beta4_pH[11,2]	1.268	0.050	1.171	1.267	1.368
beta4_pH[12,2]	0.605	0.110	0.400	0.603	0.843
beta4_pH[13,2]	0.949	0.045	0.860	0.948	1.035
beta4_pH[14,2]	0.935	0.063	0.813	0.933	1.060
beta4_pH[15,2]	1.010	0.026	0.960	1.010	1.061
beta4_pH[16,2]	1.388	0.076	1.240	1.386	1.538
beta4_pH[1,3]	0.241	0.076	0.108	0.236	0.407
beta4_pH[2,3]	0.050	0.017	0.020	0.049	0.083
beta4_pH[3,3]	0.052	0.010	0.033	0.052	0.072
beta4_pH[4,3]	0.167	0.031	0.108	0.167	0.229
beta4_pH[5,3]	0.760	0.823	0.127	0.560	2.721
beta4_pH[6,3]	0.879	0.864	0.194	0.709	2.542
beta4_pH[7,3]	0.902	0.462	0.347	0.813	2.014
beta4_pH[8,3]	0.388	0.189	0.097	0.362	0.844
beta4_pH[9,3]	0.922	0.926	0.176	0.715	2.845
beta4_pH[10,3]	0.054	0.038	0.003	0.048	0.146
beta4_pH[11,3]	0.618	0.257	0.262	0.572	1.277
beta4_pH[12,3]	0.707	0.232	0.377	0.672	1.277
beta4_pH[13,3]	0.722	0.193	0.416	0.697	1.183
beta4_pH[14,3]	0.860	0.217	0.510	0.834	1.353
beta4_pH[15,3]	0.823	0.243	0.426	0.795	1.360
beta4_pH[16,3]	0.842	0.389	0.317	0.764	1.847
beta4_pH[1,4]	0.631	0.362	0.207	0.555	1.559
beta4_pH[2,4]	0.820	1.050	0.116	0.571	3.018
beta4_pH[3,4]	0.880	1.016	0.114	0.599	3.335
beta4_pH[4,4]	0.735	0.496	0.199	0.618	1.941
beta4_pH[5,4]	0.777	1.030	0.120	0.569	2.598
beta4_pH[6,4]	0.921	1.038	0.201	0.728	2.795
beta4_pH[7,4]	0.907	0.477	0.360	0.813	1.996
beta4_pH[8,4]	0.730	0.687	0.138	0.576	2.176
beta4_pH[9,4]	0.793	0.922	0.122	0.561	2.907
beta4_pH[10,4]	1.390	2.860	0.008	0.384	10.257
beta4_pH[11,4]	0.396	0.016	0.365	0.396	0.427
beta4_pH[12,4]	0.551	0.053	0.450	0.549	0.661
beta4_pH[13,4]	0.836	0.040	0.760	0.835	0.916
beta4_pH[14,4]	0.863	0.071	0.731	0.859	1.010
beta4_pH[15,4]	0.626	0.017	0.593	0.625	0.661
beta4_pH[16,4]	0.647	0.039	0.576	0.646	0.727
beta4_pH[1,5]	0.639	0.345	0.198	0.567	1.447
beta4_pH[2,5]	0.820	0.885	0.112	0.586	2.968
beta4_pH[3,5]	0.860	0.929	0.105	0.583	3.399
beta4_pH[4,5]	0.726	0.501	0.208	0.613	1.840
beta4_pH[5,5]	0.762	0.890	0.117	0.552	2.679
beta4_pH[6,5]	0.896	0.739	0.202	0.726	2.709
beta4_pH[7,5]	0.902	0.529	0.343	0.816	1.870
beta4_pH[8,5]	0.722	0.589	0.152	0.586	2.201
beta4_pH[9,5]	0.785	0.976	0.113	0.558	2.710
beta4_pH[10,5]	1.475	2.953	0.008	0.391	11.316
beta4_pH[11,5]	0.361	0.075	0.218	0.360	0.512
beta4_pH[12,5]	0.694	0.205	0.364	0.667	1.180
beta4_pH[13,5]	0.973	0.111	0.769	0.966	1.210
beta4_pH[14,5]	0.842	0.159	0.561	0.831	1.184
beta4_pH[15,5]	1.311	0.120	1.091	1.303	1.564
beta4_pH[16,5]	0.922	0.379	0.376	0.860	1.845
beta0_pelagic[1]	2.268	0.036	2.202	2.267	2.339
beta0_pelagic[2]	1.538	0.007	1.524	1.538	1.552
beta0_pelagic[3]	0.180	0.222	-0.327	0.207	0.537
beta0_pelagic[4]	0.231	0.211	-0.189	0.233	0.640
beta0_pelagic[5]	1.445	0.160	1.144	1.443	1.762
beta0_pelagic[6]	1.356	0.061	1.238	1.354	1.479
beta0_pelagic[7]	1.470	0.038	1.398	1.468	1.547
beta0_pelagic[8]	1.672	0.044	1.592	1.671	1.760
beta0_pelagic[9]	2.775	0.064	2.655	2.774	2.899
beta0_pelagic[10]	2.603	0.031	2.543	2.602	2.666
beta0_pelagic[11]	-0.186	0.207	-0.689	-0.167	0.171
beta0_pelagic[12]	1.801	0.035	1.735	1.800	1.871
beta0_pelagic[13]	-1.565	0.830	-3.341	-1.465	-0.232
beta0_pelagic[14]	-0.284	0.181	-0.697	-0.267	0.014
beta0_pelagic[15]	-0.211	0.039	-0.327	-0.195	-0.179
beta0_pelagic[16]	-0.445	0.350	-1.282	-0.350	0.011
beta1_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[3]	0.763	0.242	0.348	0.741	1.314
beta1_pelagic[4]	0.820	0.231	0.397	0.815	1.282
beta1_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[11]	1.231	0.323	0.711	1.194	2.118
beta1_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta1_pelagic[13]	3.886	1.511	1.735	3.478	7.318
beta1_pelagic[14]	1.846	0.506	1.131	1.725	3.036
beta1_pelagic[15]	0.079	0.138	0.000	0.013	0.527
beta1_pelagic[16]	1.511	0.493	0.798	1.428	2.628
beta2_pelagic[1]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[2]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[3]	6.230	5.971	0.209	4.487	21.044
beta2_pelagic[4]	7.649	6.040	0.459	6.341	22.243
beta2_pelagic[5]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[6]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[7]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[8]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[9]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[10]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[11]	1.626	1.487	0.191	1.114	5.687
beta2_pelagic[12]	0.000	0.000	0.000	0.000	0.000
beta2_pelagic[13]	0.141	0.074	0.057	0.126	0.322
beta2_pelagic[14]	0.840	0.842	0.188	0.576	3.366
beta2_pelagic[15]	2.588	1.915	0.151	2.187	7.231
beta2_pelagic[16]	0.739	0.920	0.140	0.390	3.907
beta3_pelagic[1]	28.600	3.893	22.298	28.479	35.098
beta3_pelagic[2]	28.765	3.882	22.323	28.797	35.125
beta3_pelagic[3]	27.577	2.704	23.248	27.509	32.257
beta3_pelagic[4]	26.268	1.545	23.580	26.298	30.428
beta3_pelagic[5]	29.368	6.665	18.525	29.324	40.422
beta3_pelagic[6]	29.585	6.603	18.620	29.365	40.482
beta3_pelagic[7]	29.204	6.629	18.458	29.075	40.232
beta3_pelagic[8]	29.405	6.595	18.574	29.372	40.387
beta3_pelagic[9]	29.576	6.656	18.551	29.726	40.456
beta3_pelagic[10]	29.407	6.558	18.631	29.392	40.458
beta3_pelagic[11]	30.154	1.249	27.864	30.053	32.989
beta3_pelagic[12]	30.000	0.000	30.000	30.000	30.000
beta3_pelagic[13]	30.972	4.950	23.501	30.390	41.067
beta3_pelagic[14]	34.452	1.940	31.486	34.147	39.318
beta3_pelagic[15]	33.276	5.805	23.607	33.593	41.703
beta3_pelagic[16]	30.982	2.326	26.114	31.082	35.695
beta0_yellow[1]	-0.483	0.081	-0.641	-0.483	-0.326
beta0_yellow[2]	0.544	0.077	0.380	0.550	0.673
beta0_yellow[3]	-0.212	0.129	-0.463	-0.217	0.013
beta0_yellow[4]	0.888	0.269	0.086	0.969	1.189
beta0_yellow[5]	0.236	0.323	-0.437	0.254	0.806
beta0_yellow[6]	0.819	0.107	0.611	0.820	1.025
beta0_yellow[7]	1.012	0.099	0.813	1.013	1.206
beta0_yellow[8]	1.020	0.093	0.836	1.021	1.193
beta0_yellow[9]	0.441	0.100	0.242	0.441	0.637
beta0_yellow[10]	0.537	0.070	0.400	0.536	0.677
beta0_yellow[11]	-0.202	0.121	-0.455	-0.192	0.015
beta0_yellow[12]	-1.083	0.093	-1.264	-1.082	-0.902
beta0_yellow[13]	-1.335	0.177	-1.737	-1.315	-1.051
beta0_yellow[14]	-0.243	0.144	-0.552	-0.230	0.001
beta0_yellow[15]	-1.239	0.128	-1.532	-1.228	-1.035
beta0_yellow[16]	-0.260	0.092	-0.444	-0.257	-0.086
beta1_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[2]	1.015	0.222	0.601	1.009	1.456
beta1_yellow[3]	0.467	0.239	0.020	0.479	0.909
beta1_yellow[4]	1.331	0.593	0.647	1.185	3.272
beta1_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[11]	0.294	0.369	0.001	0.106	1.268
beta1_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta1_yellow[13]	1.942	1.709	0.033	1.133	5.944
beta1_yellow[14]	0.714	0.967	0.012	0.435	3.768
beta1_yellow[15]	0.162	0.207	0.011	0.077	0.727
beta1_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[1]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[2]	-9.188	6.774	-24.626	-7.428	-0.602
beta2_yellow[3]	-7.645	5.827	-21.785	-6.305	-0.438
beta2_yellow[4]	-5.649	5.893	-20.607	-3.690	-0.121
beta2_yellow[5]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[6]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[7]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[8]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[9]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[10]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[11]	-7.937	5.917	-22.288	-6.790	-0.415
beta2_yellow[12]	0.000	0.000	0.000	0.000	0.000
beta2_yellow[13]	-5.454	5.361	-18.926	-3.472	-0.320
beta2_yellow[14]	-6.274	4.981	-18.665	-4.748	-0.376
beta2_yellow[15]	-6.565	5.093	-19.371	-5.503	-0.277
beta2_yellow[16]	0.000	0.000	0.000	0.000	0.000
beta3_yellow[1]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[2]	28.840	0.995	27.454	28.667	31.617
beta3_yellow[3]	32.424	3.314	22.743	32.625	38.571
beta3_yellow[4]	29.953	3.361	24.425	28.680	35.991
beta3_yellow[5]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[6]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[7]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[8]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[9]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[10]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[11]	35.032	3.700	30.344	34.014	43.298
beta3_yellow[12]	25.000	0.000	25.000	25.000	25.000
beta3_yellow[13]	32.394	2.798	29.092	32.047	38.557
beta3_yellow[14]	33.792	3.537	29.189	33.356	42.783
beta3_yellow[15]	36.405	3.869	30.259	36.247	43.501
beta3_yellow[16]	35.000	0.000	35.000	35.000	35.000
beta0_black[1]	0.013	0.077	-0.139	0.012	0.160
beta0_black[2]	1.855	0.032	1.795	1.855	1.916
beta0_black[3]	1.239	0.037	1.167	1.239	1.311
beta0_black[4]	2.425	0.047	2.335	2.426	2.518
beta0_black[5]	5.245	2.414	1.919	4.787	11.410
beta0_black[6]	5.230	2.155	2.593	4.653	10.999
beta0_black[7]	4.163	2.182	1.619	3.594	10.157
beta0_black[8]	0.884	0.217	0.488	0.880	1.338
beta0_black[9]	2.820	0.268	2.299	2.813	3.361
beta0_black[10]	1.288	0.051	1.188	1.288	1.389
beta0_black[11]	2.979	0.051	2.879	2.978	3.078
beta0_black[12]	4.917	0.196	4.530	4.915	5.310
beta0_black[13]	0.441	0.337	0.019	0.358	1.236
beta0_black[14]	2.853	0.106	2.634	2.855	3.067
beta0_black[15]	0.722	0.052	0.620	0.723	0.820
beta0_black[16]	3.772	0.075	3.627	3.769	3.921
beta2_black[1]	0.000	0.000	0.000	0.000	0.000
beta2_black[2]	0.000	0.000	0.000	0.000	0.000
beta2_black[3]	0.000	0.000	0.000	0.000	0.000
beta2_black[4]	0.000	0.000	0.000	0.000	0.000
beta2_black[5]	0.000	0.000	0.000	0.000	0.000
beta2_black[6]	0.000	0.000	0.000	0.000	0.000
beta2_black[7]	0.000	0.000	0.000	0.000	0.000
beta2_black[8]	0.000	0.000	0.000	0.000	0.000
beta2_black[9]	0.000	0.000	0.000	0.000	0.000
beta2_black[10]	0.000	0.000	0.000	0.000	0.000
beta2_black[11]	0.000	0.000	0.000	0.000	0.000
beta2_black[12]	0.000	0.000	0.000	0.000	0.000
beta2_black[13]	-2.540	1.794	-6.885	-2.132	-0.254
beta2_black[14]	0.000	0.000	0.000	0.000	0.000
beta2_black[15]	0.000	0.000	0.000	0.000	0.000
beta2_black[16]	0.000	0.000	0.000	0.000	0.000
beta3_black[1]	25.000	0.000	25.000	25.000	25.000
beta3_black[2]	25.000	0.000	25.000	25.000	25.000
beta3_black[3]	25.000	0.000	25.000	25.000	25.000
beta3_black[4]	25.000	0.000	25.000	25.000	25.000
beta3_black[5]	25.000	0.000	25.000	25.000	25.000
beta3_black[6]	25.000	0.000	25.000	25.000	25.000
beta3_black[7]	25.000	0.000	25.000	25.000	25.000
beta3_black[8]	25.000	0.000	25.000	25.000	25.000
beta3_black[9]	25.000	0.000	25.000	25.000	25.000
beta3_black[10]	25.000	0.000	25.000	25.000	25.000
beta3_black[11]	25.000	0.000	25.000	25.000	25.000
beta3_black[12]	25.000	0.000	25.000	25.000	25.000
beta3_black[13]	37.297	3.437	26.139	38.108	40.807
beta3_black[14]	25.000	0.000	25.000	25.000	25.000
beta3_black[15]	25.000	0.000	25.000	25.000	25.000
beta3_black[16]	25.000	0.000	25.000	25.000	25.000
beta4_black[1]	-0.325	0.092	-0.508	-0.322	-0.151
beta4_black[2]	0.258	0.052	0.157	0.259	0.362
beta4_black[3]	-0.721	0.063	-0.847	-0.720	-0.595
beta4_black[4]	0.628	0.128	0.382	0.626	0.891
beta4_black[5]	0.735	1.484	-1.237	0.461	4.048
beta4_black[6]	0.865	1.507	-0.952	0.551	4.388
beta4_black[7]	0.777	1.341	-0.935	0.497	4.160
beta4_black[8]	0.071	0.288	-0.546	0.078	0.611
beta4_black[9]	1.040	0.819	-0.076	0.862	3.062
beta4_black[10]	0.074	0.067	-0.053	0.074	0.211
beta4_black[11]	-0.610	0.064	-0.732	-0.610	-0.484
beta4_black[12]	1.239	0.284	0.718	1.227	1.810
beta4_black[13]	-1.001	0.077	-1.155	-1.002	-0.854
beta4_black[14]	0.221	0.185	-0.143	0.220	0.584
beta4_black[15]	0.001	0.047	-0.090	0.001	0.092
beta4_black[16]	-0.418	0.116	-0.641	-0.417	-0.187
beta0_dsr[11]	-0.337	0.010	-0.356	-0.337	-0.319
beta0_dsr[12]	1.421	0.044	1.335	1.421	1.510
beta0_dsr[13]	0.130	0.022	0.087	0.131	0.172
beta0_dsr[14]	-0.135	0.017	-0.169	-0.135	-0.102
beta0_dsr[15]	0.184	0.014	0.156	0.184	0.212
beta0_dsr[16]	0.208	0.015	0.178	0.208	0.237
beta1_dsr[11]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[12]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[13]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[14]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[15]	0.000	0.000	0.000	0.000	0.000
beta1_dsr[16]	0.000	0.000	0.000	0.000	0.000
beta4_dsr[11]	0.548	0.035	0.482	0.548	0.618
beta4_dsr[12]	0.824	0.233	0.388	0.822	1.286
beta4_dsr[13]	-0.048	0.041	-0.129	-0.047	0.033
beta4_dsr[14]	-0.207	0.071	-0.347	-0.207	-0.065
beta4_dsr[15]	0.237	0.021	0.195	0.237	0.279
beta4_dsr[16]	-0.099	0.045	-0.190	-0.099	-0.010
beta0_slope[11]	-2.201	0.021	-2.241	-2.201	-2.160
beta0_slope[12]	-5.439	0.225	-5.880	-5.437	-5.009
beta0_slope[13]	-1.456	0.034	-1.523	-1.455	-1.390
beta0_slope[14]	-2.692	0.050	-2.793	-2.691	-2.597
beta0_slope[15]	-1.567	0.022	-1.610	-1.567	-1.524
beta0_slope[16]	-3.015	0.045	-3.104	-3.015	-2.925
beta1_slope[11]	0.000	0.000	0.000	0.000	0.000
beta1_slope[12]	0.000	0.000	0.000	0.000	0.000
beta1_slope[13]	0.000	0.000	0.000	0.000	0.000
beta1_slope[14]	0.000	0.000	0.000	0.000	0.000
beta1_slope[15]	0.000	0.000	0.000	0.000	0.000
beta1_slope[16]	0.000	0.000	0.000	0.000	0.000
beta4_slope[11]	-0.343	0.075	-0.494	-0.343	-0.197
beta4_slope[12]	-4.643	0.819	-6.341	-4.590	-3.183
beta4_slope[13]	0.282	0.054	0.171	0.283	0.384
beta4_slope[14]	-0.179	0.152	-0.479	-0.177	0.115
beta4_slope[15]	-0.386	0.033	-0.449	-0.386	-0.322
beta4_slope[16]	0.221	0.104	0.016	0.221	0.430
beta5_slope[11]	3.076	0.109	2.873	3.073	3.301
beta5_slope[12]	1.992	0.391	1.260	1.975	2.799
beta5_slope[13]	0.931	0.081	0.766	0.933	1.087
beta5_slope[14]	3.780	0.368	3.101	3.756	4.554
beta5_slope[15]	1.387	0.072	1.248	1.385	1.529
beta5_slope[16]	2.684	0.235	2.243	2.671	3.179
tau_comp[1]	3.757	0.292	3.211	3.746	4.348
tau_comp[2]	2.852	0.251	2.372	2.847	3.360
tau_comp[3]	0.872	0.073	0.735	0.870	1.021
tau_comp[4]	1.274	0.194	0.933	1.258	1.702
tau_comp[5]	1.209	0.181	0.893	1.194	1.599
sigma_H[1]	0.209	0.048	0.122	0.207	0.309
sigma_H[2]	0.174	0.029	0.125	0.172	0.237
sigma_H[3]	0.188	0.040	0.117	0.185	0.276
sigma_H[4]	0.460	0.079	0.329	0.452	0.636
sigma_H[5]	0.967	0.201	0.594	0.954	1.396
sigma_H[6]	0.550	0.196	0.173	0.543	0.950
sigma_H[7]	0.310	0.064	0.212	0.302	0.456
sigma_H[8]	0.423	0.091	0.293	0.412	0.627
sigma_H[9]	0.513	0.118	0.331	0.494	0.773
sigma_H[10]	0.210	0.039	0.143	0.206	0.298
sigma_H[11]	0.266	0.044	0.192	0.263	0.366
sigma_H[12]	0.380	0.148	0.195	0.336	0.712
sigma_H[13]	0.218	0.036	0.155	0.215	0.297
sigma_H[14]	0.499	0.089	0.343	0.493	0.686
sigma_H[15]	0.235	0.038	0.171	0.232	0.321
sigma_H[16]	0.213	0.040	0.146	0.209	0.301
lambda_H[1]	2.331	3.631	0.084	1.075	11.572
lambda_H[2]	5.070	4.735	0.485	3.684	17.565
lambda_H[3]	5.437	8.082	0.277	2.703	27.979
lambda_H[4]	0.006	0.004	0.001	0.005	0.017
lambda_H[5]	2.635	6.306	0.028	0.678	19.775
lambda_H[6]	7.474	13.981	0.008	0.494	43.111
lambda_H[7]	0.012	0.008	0.002	0.010	0.033
lambda_H[8]	8.010	9.594	0.113	4.608	36.063
lambda_H[9]	0.015	0.010	0.003	0.013	0.039
lambda_H[10]	0.219	0.329	0.026	0.150	0.784
lambda_H[11]	0.233	0.326	0.011	0.105	1.144
lambda_H[12]	3.602	4.897	0.158	2.016	16.917
lambda_H[13]	3.192	3.107	0.255	2.285	11.324
lambda_H[14]	3.338	3.972	0.232	2.098	14.350
lambda_H[15]	0.019	0.020	0.003	0.014	0.061
lambda_H[16]	0.463	0.710	0.030	0.243	2.209
mu_lambda_H[1]	4.030	1.897	0.980	3.785	8.105
mu_lambda_H[2]	3.748	1.915	0.536	3.597	7.841
mu_lambda_H[3]	3.371	1.831	0.704	3.071	7.540
sigma_lambda_H[1]	8.133	4.391	1.576	7.383	18.032
sigma_lambda_H[2]	8.258	4.638	0.880	7.639	18.192
sigma_lambda_H[3]	6.220	4.053	0.950	5.361	15.930
beta_H[1,1]	6.565	1.308	3.432	6.780	8.486
beta_H[2,1]	9.736	0.620	8.373	9.766	10.875
beta_H[3,1]	7.829	0.779	6.006	7.932	9.094
beta_H[4,1]	10.170	7.661	-5.582	10.175	25.535
beta_H[5,1]	-0.304	2.438	-5.456	-0.164	3.989
beta_H[6,1]	3.350	4.177	-6.915	4.920	8.307
beta_H[7,1]	1.125	5.542	-10.547	1.417	11.477
beta_H[8,1]	1.215	3.163	-2.633	1.215	3.497
beta_H[9,1]	13.692	5.738	2.770	13.421	25.854
beta_H[10,1]	6.861	1.815	3.132	6.923	10.413
beta_H[11,1]	4.884	3.547	-2.649	5.397	9.953
beta_H[12,1]	2.611	1.103	0.591	2.531	5.114
beta_H[13,1]	9.092	0.858	7.288	9.145	10.521
beta_H[14,1]	2.125	1.041	0.010	2.130	4.185
beta_H[15,1]	-6.967	3.451	-13.497	-7.046	0.123
beta_H[16,1]	3.921	3.071	-1.080	3.511	11.277
beta_H[1,2]	7.783	0.266	7.253	7.782	8.311
beta_H[2,2]	9.879	0.166	9.544	9.880	10.206
beta_H[3,2]	8.800	0.204	8.384	8.804	9.197
beta_H[4,2]	3.063	1.441	0.351	3.012	6.003
beta_H[5,2]	1.748	0.985	-0.205	1.766	3.631
beta_H[6,2]	6.103	1.085	3.537	6.294	7.854
beta_H[7,2]	2.422	1.027	0.551	2.357	4.538
beta_H[8,2]	3.032	0.978	1.494	3.160	4.248
beta_H[9,2]	3.217	1.130	1.143	3.193	5.580
beta_H[10,2]	8.025	0.362	7.265	8.038	8.706
beta_H[11,2]	9.827	0.644	8.840	9.730	11.231
beta_H[12,2]	3.937	0.373	3.228	3.926	4.732
beta_H[13,2]	9.146	0.240	8.700	9.137	9.631
beta_H[14,2]	4.017	0.344	3.367	4.011	4.692
beta_H[15,2]	11.529	0.625	10.232	11.533	12.713
beta_H[16,2]	4.448	0.821	2.974	4.410	6.179
beta_H[1,3]	8.437	0.267	7.949	8.423	8.994
beta_H[2,3]	9.858	0.149	9.568	9.858	10.148
beta_H[3,3]	9.460	0.164	9.162	9.452	9.799
beta_H[4,3]	-2.183	0.861	-3.851	-2.193	-0.549
beta_H[5,3]	3.900	0.611	2.667	3.904	5.100
beta_H[6,3]	8.334	1.180	6.656	8.012	10.829
beta_H[7,3]	-2.572	0.623	-3.796	-2.561	-1.338
beta_H[8,3]	5.268	0.477	4.675	5.207	6.328
beta_H[9,3]	-2.745	0.727	-4.196	-2.711	-1.337
beta_H[10,3]	8.550	0.273	8.013	8.552	9.085
beta_H[11,3]	8.504	0.293	7.882	8.533	9.025
beta_H[12,3]	5.268	0.319	4.535	5.304	5.781
beta_H[13,3]	8.866	0.176	8.507	8.871	9.210
beta_H[14,3]	5.789	0.272	5.187	5.806	6.264
beta_H[15,3]	10.290	0.300	9.704	10.288	10.922
beta_H[16,3]	5.902	0.575	4.732	5.917	6.943
beta_H[1,4]	8.096	0.182	7.711	8.101	8.432
beta_H[2,4]	9.851	0.129	9.587	9.853	10.096
beta_H[3,4]	9.951	0.152	9.613	9.963	10.217
beta_H[4,4]	11.821	0.466	10.882	11.822	12.733
beta_H[5,4]	5.574	0.731	4.347	5.496	7.245
beta_H[6,4]	7.229	0.929	5.252	7.467	8.535
beta_H[7,4]	8.551	0.339	7.869	8.557	9.203
beta_H[8,4]	6.727	0.243	6.266	6.738	7.146
beta_H[9,4]	7.434	0.448	6.561	7.428	8.286
beta_H[10,4]	7.526	0.220	7.108	7.520	7.979
beta_H[11,4]	9.515	0.194	9.130	9.514	9.903
beta_H[12,4]	7.255	0.198	6.868	7.256	7.668
beta_H[13,4]	9.062	0.138	8.786	9.066	9.334
beta_H[14,4]	7.834	0.218	7.409	7.833	8.279
beta_H[15,4]	9.462	0.226	9.015	9.461	9.914
beta_H[16,4]	9.433	0.237	8.983	9.432	9.897
beta_H[1,5]	8.897	0.151	8.584	8.903	9.190
beta_H[2,5]	10.676	0.102	10.479	10.671	10.889
beta_H[3,5]	10.759	0.164	10.455	10.757	11.092
beta_H[4,5]	8.328	0.492	7.390	8.319	9.323
beta_H[5,5]	5.206	0.600	3.813	5.289	6.167
beta_H[6,5]	8.965	0.656	7.993	8.810	10.398
beta_H[7,5]	6.573	0.338	5.939	6.565	7.257
beta_H[8,5]	8.246	0.200	7.908	8.233	8.641
beta_H[9,5]	8.189	0.456	7.278	8.185	9.125
beta_H[10,5]	10.040	0.229	9.577	10.038	10.484
beta_H[11,5]	11.585	0.224	11.150	11.586	12.027
beta_H[12,5]	8.608	0.186	8.241	8.603	8.977
beta_H[13,5]	10.133	0.127	9.883	10.130	10.396
beta_H[14,5]	9.242	0.221	8.836	9.230	9.695
beta_H[15,5]	11.322	0.240	10.861	11.320	11.789
beta_H[16,5]	9.855	0.189	9.461	9.859	10.210
beta_H[1,6]	10.119	0.232	9.734	10.088	10.709
beta_H[2,6]	11.472	0.118	11.240	11.472	11.700
beta_H[3,6]	10.620	0.155	10.284	10.632	10.897
beta_H[4,6]	12.940	0.872	11.178	12.943	14.609
beta_H[5,6]	5.662	0.628	4.560	5.622	6.982
beta_H[6,6]	8.754	0.571	7.478	8.797	9.815
beta_H[7,6]	10.556	0.588	9.369	10.572	11.661
beta_H[8,6]	9.534	0.258	9.050	9.543	9.950
beta_H[9,6]	8.291	0.765	6.768	8.295	9.863
beta_H[10,6]	9.140	0.347	8.389	9.162	9.753
beta_H[11,6]	10.703	0.363	9.939	10.729	11.353
beta_H[12,6]	9.384	0.239	8.940	9.382	9.881
beta_H[13,6]	11.092	0.153	10.809	11.088	11.417
beta_H[14,6]	9.916	0.272	9.357	9.916	10.441
beta_H[15,6]	10.523	0.423	9.696	10.525	11.359
beta_H[16,6]	10.576	0.267	9.995	10.587	11.075
beta_H[1,7]	10.202	1.198	7.137	10.465	11.852
beta_H[2,7]	12.113	0.524	11.020	12.145	13.071
beta_H[3,7]	10.289	0.654	8.876	10.340	11.405
beta_H[4,7]	1.315	4.492	-7.488	1.276	10.179
beta_H[5,7]	5.822	1.982	1.905	5.840	9.994
beta_H[6,7]	7.331	3.157	-0.761	8.468	11.122
beta_H[7,7]	7.623	2.991	2.029	7.601	13.805
beta_H[8,7]	10.858	0.992	9.219	10.853	12.386
beta_H[9,7]	4.954	3.884	-3.111	5.128	12.683
beta_H[10,7]	10.062	1.623	7.211	9.940	13.545
beta_H[11,7]	11.345	1.762	8.192	11.175	15.170
beta_H[12,7]	9.755	1.010	7.438	9.842	11.443
beta_H[13,7]	11.721	0.728	10.133	11.798	12.948
beta_H[14,7]	10.649	0.919	8.793	10.678	12.419
beta_H[15,7]	14.060	2.222	9.677	14.035	18.329
beta_H[16,7]	12.927	1.437	10.436	12.813	16.000
beta0_H[1]	8.747	16.656	-26.111	8.984	42.368
beta0_H[2]	10.522	7.986	-6.174	10.664	26.144
beta0_H[3]	9.463	10.515	-11.638	9.584	30.777
beta0_H[4]	3.899	182.336	-365.263	4.762	364.242
beta0_H[5]	4.374	28.665	-51.713	4.267	60.587
beta0_H[6]	5.450	52.572	-119.177	7.449	119.232
beta0_H[7]	3.307	141.312	-276.076	0.944	295.841
beta0_H[8]	6.008	25.978	-16.240	6.407	30.784
beta0_H[9]	7.324	119.152	-231.545	9.138	245.560
beta0_H[10]	8.059	36.370	-64.613	9.039	84.980
beta0_H[11]	8.736	51.426	-103.857	9.240	113.849
beta0_H[12]	6.808	12.276	-18.700	6.683	31.847
beta0_H[13]	9.789	11.732	-12.766	9.980	31.653
beta0_H[14]	7.327	11.086	-15.522	7.077	29.902
beta0_H[15]	6.940	119.782	-244.257	9.296	248.620
beta0_H[16]	7.338	31.493	-56.329	7.462	75.334

Rockfish Historical Harvest Estimates

Phil Joy & Adam Reimer

February 2025